Dataset Information

NDF, a nucleosome-destabilizing factor that facilitates transcription through nucleosomes.

ABSTRACT: Our understanding of transcription by RNA polymerase II (Pol II) is limited by our knowledge of the factors that mediate this critically important process. Here we describe the identification of NDF, a nucleosome-destabilizing factor that facilitates Pol II transcription in chromatin. NDF has a PWWP motif, interacts with nucleosomes near the dyad, destabilizes nucleosomes in an ATP-independent manner, and facilitates transcription by Pol II through nucleosomes in a purified and defined transcription system as well as in cell nuclei. Upon transcriptional induction, NDF is recruited to the transcribed regions of thousands of genes and colocalizes with a subset of H3K36me3-enriched regions. Notably, the recruitment of NDF to gene bodies is accompanied by an increase in the transcript levels of many of the NDF-enriched genes. In addition, the global loss of NDF results in a decrease in the RNA levels of many genes. In humans, NDF is present at high levels in all tested tissue types, is essential in stem cells, and is frequently overexpressed in breast cancer. These findings indicate that NDF is a nucleosome-destabilizing factor that is recruited to gene bodies during transcriptional activation and facilitates Pol II transcription through nucleosomes.

SUBMITTER: Fei J

PROVIDER: S-EPMC6004073 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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NDF, a nucleosome-destabilizing factor that facilitates transcription through nucleosomes.

Fei Jia J Ishii Haruhiko H Hoeksema Marten A MA Meitinger Franz F Kassavetis George A GA Glass Christopher K CK Ren Bing B Kadonaga James T JT

Genes & development 20180514 9-10

Our understanding of transcription by RNA polymerase II (Pol II) is limited by our knowledge of the factors that mediate this critically important process. Here we describe the identification of NDF, a nucleosome-destabilizing factor that facilitates Pol II transcription in chromatin. NDF has a PWWP motif, interacts with nucleosomes near the dyad, destabilizes nucleosomes in an ATP-independent manner, and facilitates transcription by Pol II through nucleosomes in a purified and defined transcrip ...[more]

PMID: 29759984

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Project description:In computational methods, position weight matrices (PWMs) are commonly applied for transcription factor binding site (TFBS) prediction. Although these matrices are more accurate than simple consensus sequences to predict actual binding sites, they usually produce a large number of false positive (FP) predictions and so are impoverished sources of information. Several studies have employed additional sources of information such as sequence conservation or the vicinity to transcription start sites to distinguish true binding regions from random ones. Recently, the spatial distribution of modified nucleosomes has been shown to be associated with different promoter architectures. These aligned patterns can facilitate DNA accessibility for transcription factors. We hypothesize that using data from these aligned and periodic patterns can improve the performance of binding region prediction. In this study, we propose two effective features, "modified nucleosomes neighboring" and "modified nucleosomes occupancy", to decrease FP in binding site discovery. Based on these features, we designed a logistic regression classifier which estimates the probability of a region as a TFBS. Our model learned each feature based on Sp1 binding sites on Chromosome 1 and was tested on the other chromosomes in human CD4+T cells. In this work, we investigated 21 histone modifications and found that only 8 out of 21 marks are strongly correlated with transcription factor binding regions. To prove that these features are not specific to Sp1, we combined the logistic regression classifier with the PWM, and created a new model to search TFBSs on the genome. We tested the model using transcription factors MAZ, PU.1 and ELF1 and compared the results to those using only the PWM. The results show that our model can predict Transcription factor binding regions more successfully. The relative simplicity of the model and capability of integrating other features make it a superior method for TFBS prediction.

Dataset Information

NDF, a nucleosome-destabilizing factor that facilitates transcription through nucleosomes.

Publications

NDF, a nucleosome-destabilizing factor that facilitates transcription through nucleosomes.

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